Software Dev Manager, DDB Index and Search

Amazon Inc.; Seattle (WA); On-site; USD 185,000 - 250,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon DynamoDB is building native vector search, full-text search, and hybrid retrieval. You will lead engineers at the intersection of distributed databases, information retrieval, and AI infrastructure, shaping an ambitious new capability from foundational architecture to production readiness.

You will own the team roadmap, drive architectural decisions, hire and develop engineers, and ensure robust delivery that improves customer search over operational data without a separate search stack.

Qualifications

• Bachelor's degree in CS, engineering, math, or related field.
• 3+ years managing engineering teams
• 7+ years engineering experience
• Experience delivering distributed databases/storage systems
• Experience leading architecture and delivery of database infrastructure

Responsibilities

• Lead and grow an engineering team building vector, full-text, and hybrid search.
• Own the technical roadmap and milestones for delivery.
• Guide architecture for vector and text indexes and update strategies.
• Lead query planning and execution across partitions.
• Establish evaluation practices for recall, latency, and cost.
• Partner with storage and database teams to support search during data changes.
• Make staffing decisions and ensure testing and rollout plans.
• Own production readiness and team health, observability, and on-call practices.

Skills

Engineering team management

Engineering experience

Distributed databases

Search algorithms

Leadership

Delivery of architecture

Education

Bachelor's degree in CS/Engineering/Math

Job description

Description

Software Development Manager, DynamoDB Vector Search

Amazon DynamoDB is looking for a Software Development Manager to lead a new initiative building native vector search, full-text search, and hybrid retrieval . You will lead engineers working at the intersection of distributed databases, information retrieval, and AI infrastructure, enabling customers to search their operational data without building and managing a separate search stack.

The technical decisions are substantial. How should vector indexes be organized across a changing, partitioned dataset? How do selective filters affect approximate nearest-neighbor retrieval? How should semantic and keyword results be combined? How do you deliver high recall and predictable tail latency while data is continuously inserted, updated, and deleted?

Your team will tackle these questions across the search stack—from index structures and storage integration to distributed query execution and relevance evaluation. The work includes evaluating graph-based and clustering-based indexing approaches, compression, caching, text analysis, and ranking. You will guide decisions about what to build, how to measure it, and how to evolve the architecture as customer workloads grow.

As the SDM, you will own the team’s roadmap, engineering execution, and operational readiness. You will work with senior and principal engineers to resolve architectural questions, establish measurable launch criteria, and turn exploration into production capabilities. You will hire and develop engineers, build technical leadership within the team, and create an environment where engineers can make decisions and carry them through to customer outcomes.

This is an opportunity to shape a new database capability from its foundational architecture through launch, helping developers build semantic discovery, recommendations, and retrieval for generative AI applications directly on DynamoDB.

Key job responsibilities

• Lead and grow an engineering team building vector, full-text, and hybrid search; develop engineers with depth in search algorithms, database internals, and distributed execution.

• Own the technical roadmap, sequencing algorithm evaluation, integration, performance qualification, and customer delivery into achievable milestones.

• Guide architecture for vector and text indexes, including choices among retrieval algorithms, memory and disk layouts, compression, and update strategies.

• Lead delivery of query planning and execution across partitions, including filter placement, candidate selection, ranking, and combining results.

• Establish evaluation practices that reveal how recall, relevance, latency, and cost change with dataset size, filter selectivity, write rate, and workload skew.

• Partner with storage and database teams to support search under continuous data changes, infrastructure failures, and growing workloads.

• Make deliberate scope and staffing decisions, resolve dependencies, and ensure testing and rollout plans develop alongside implementation.

• Own production readiness and team health, including observability, deployment safety, incident learning, and sustainable on-call practices.

Basic Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

• Experience partnering with product or program management teams

• 3+ years of engineering team management experience

• 7+ years of engineering experience

• Experience hiring, developing, and managing high-performing technical teams

• Experience leading architecture and delivery of distributed databases, storage systems, replication, or transaction infrastructure.

• Experience delivering substantial changes across multiple teams while maintaining production reliability.

Preferred Qualifications

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy

• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually